Transcript

1. SPSS : : 91751501 92-1391 2. . : . . . 3. 3 : : : : : -:SPSS, Excel 4. .3 : .1 : .2 : .4 : 1389 13901385 1388 . ( ) ( ) 5. 5 5000 10000 10000 50000 10000 10000 100 50000 10000 10000 100 6. .1 m*nm n . .2 Approximity Matrix .3 .4 ( ) .5 .6 DL .7 .8 6 SPSS .1 m*nm n . .2 ( ) .3 i j .4 SPSS 7. 77 :23756.4 1390:30739434% 1389:18 8. 8 1-:21 18 9. 9 2- = ( )2 + ( )2 10. 10 3- . 0.7 < < 6.92 = 2 11. 11 4- ( ) = ( ) 12. 12 5- = ( )2 = + 2 =13.06 13. 13 6- = Co C(io) DL shahr 10.36 0.79 9.43 0.72 8.35 0.64 10.64 0.81 10.05 0.77 10.55 0.81 8.59 0.66 Chaloos 8.62 0.66 Ramsar 10.24 0.78 Sari 11.65 0.89 Savadkooh 11.47 0.88 Ghaemshahr 12.19 0.93 Galoogah 11.80 0.90 MamoudAbad 12.08 0.93 Neka 9.83 0.75 Noor 11.85 0.91 Noshahr DL, 01. DL . 14. 14 7- DL DL 0.81 10 0.64 1 0.88 11 0.66 2 0.89 12 0.66 3 0.90 13 0.72 4 0.91 14 0.75 5 0.93 15 0.77 6 0.93 16 0.78 7 -- 17 0.79 8 -- 18 0.81 9 15. 15 07-06 08-07 0.9-0.8 16. 16 .1 1391. .2 - 1382. .3 .231384. .4 1380. .5 1385. .6 231383. .7 1389. .8 1390. .9 . 1389. .10 13851390.


Top Related